• Title/Summary/Keyword: 표준기저

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Multiplex PCR of Endotracheal Aspirate for the Detection of Pathogens in Ventilator Associated Pneumonia (기계환기폐렴의 원인균 진단에서 인공기도 흡인액을 이용한 Multiplex PCR과 세균배양 결과의 비교)

  • Song, Ju Han;Myung, Soon Chul;Choi, Song Ho;Jeon, Eun Ju;Kang, Hyung Gu;Lee, Hye Min;Cho, Sung Keun;Choi, Jae Chol;Shin, Jong Wook;Park, In Won;Choi, Byoung Whui;Kim, Jae Yeol
    • Tuberculosis and Respiratory Diseases
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    • v.64 no.3
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    • pp.194-199
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    • 2008
  • Background: Early identification of pathogens can improve the prognosis of patients with ventilator associated pneumonia (VAP). In the present study, we evaluated the feasibility of performing multiplex PCR for endotracheal aspirates to detect three important pathogens (P. aeruginosa, K. pneumoniae and MRSA) in patients with VAP. Methods: The endotracheal aspirates of 24 patients were collected within 24 hours of the diagnosis of VAP for performing multiplex PCR. Forward and reverse primers were designed to target the specific site of each pathogen (the oprL gene for P. aeruginosa, 16S rRNA for K. pneumoniae and the mec gene for MRSA). We analyzed the clinical data of the VAP patients, including the culture reports for the endotracheal aspirates. Results: Twenty-four patients (M:F=18:6, mean age=$70{\pm}11$) with VAP were enrolled. Pathogens were isolated from 11 patients (P. aeruginosa in 2, K. pneumoniae in 1, MRSA in 2, other enteric Gram negative bacilli in 3, S. pneumoniae in 2 and mixed infection in 1). Multiplex PCR detected three cases of P.aeruginosa (2 cases coincided with the culture reports) and four cases of K. pneumoniae (1 matched with the culture report). PCR detected two MRSA cases, which did not coincide with the culture reports. Conclusion: Multiplex PCR of the endotracheal aspirate showed some ability to detect Gram negative bacilli, although caution is required when interpreting the results.

Prediction of Radish Growth as Affected by Nitrogen Fertilization for Spring Production (무의 질소 시비량에 따른 생육량 추정 모델식 개발)

  • Lee, Sang Gyu;Yeo, Kyung-Hwan;Jang, Yoon Ah;Lee, Jun Gu;Nam, Chun Woo;Lee, Hee Ju;Choi, Chang Sun;Um, Young Chul
    • Horticultural Science & Technology
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    • v.31 no.5
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    • pp.531-537
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    • 2013
  • The average annual and winter ambient air temperatures in Korea have risen by 0.7 and $1.4^{\circ}C$, respectively, during the last 30 years. Radish (Raphanus sativus), one of the most important cool season crops, may well be used as a model to study the influence of climatic change on plant growth, because it is more adversely affected by elevated temperatures than warm season crops. This study examined the influence of transplanting time, nitrogen fertilizer level, and climate parameters, including air temperature and growing degree days (GDD), on the performance of a radish cultivar 'Mansahyungtong' to estimate crop growth during the spring growing season. The radish seeds were sown from April 24 to May 22, 2012, at internals of 14 days and cultivated with 3 levels of nitrogen fertilization. The data from plants sown on April 24 and May 8, 2012 were used for the prediction of plant growth as affected by planting date and nitrogen fertilization for spring production. In our study, plant fresh weight was higher when the radish seeds were sown on $24^{th}$ of April than on $8^{th}$ and $22^{nd}$ of May. The growth model was described as a logarithmic function using GDD according to the nitrogen fertilization levels: for 0.5N, root dry matter = 84.66/(1+exp (-(GDD - 790.7)/122.3)) ($r^2$ = 0.92), for 1.0N, root dry matter = 100.6/(1 + exp (-(GDD - 824.8)/112.8)) ($r^2$ = 0.92), and for 2.0N, root dry matter = 117.7/(1+exp (-(GDD - 877.7)/148.5)) ($r^2$ = 0.94). Although the model slightly tended to overestimate the dry mass per plant, the estimated and observed root dry matter and top dry matter data showed a reasonable good fit with 1.12 ($R^2$ = 0.979) and 1.05 ($R^2$ = 0.991), respectively. Results of this study suggest that the GDD values can be used as a good indicator in predicting the root growth of radish.

GENERAL STRATIGRAPHY OF KOREA (한반도층서개요(韓半島層序槪要))

  • Chang, Ki Hong
    • Economic and Environmental Geology
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    • v.8 no.2
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    • pp.73-87
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    • 1975
  • Regional unconformities have been used as boundaries of major stratigraphic units in Korea. The term "synthem" has already been propsed for formal unconformity-bounded stratigraphic units of maximum magnitude (ISSC, 1974). The unconformity-based classification of the strata in the cratonic area in Korea comprises in ascending order the Kyerim, $Sangw{\check{o}}n$, $Jos{\check{o}}n$, $Py{\check{o}}ngan$, Daedong, and $Ky{\check{o}}ngsang$ Synthems, and the Cenozoic Erathem. The unconformites separating them from each other are either orogenic or epeirogenic (and vertical tectonic). The sub-$Sangw{\check{o}}n$ unconformity is a non-conformity above the basement complex in Korea. The unconformities between the $Sangw{\check{o}}n$, $Jos{\check{o}}n$, and $Py{\check{o}}ngan$ Synthems are disconformities denoting late Precambrian and Paleozoic crustal quiescence in Korea. The unconformities between the $Py{\check{o}}ngan$, Daedong, and $Ky{\check{o}}ngsang$ Synthems are angular unconformities representing Mesozoic orogenies. The bounding unconformities of the $Ky{\check{o}}ngsang$ Synthem involve non-conformable parts overlying the Jurassic and late Cretaceous granitic rocks.

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A Study on the Use of GIS-based Time Series Spatial Data for Streamflow Depletion Assessment (하천 건천화 평가를 위한 GIS 기반의 시계열 공간자료 활용에 관한 연구)

  • YOO, Jae-Hyun;KIM, Kye-Hyun;PARK, Yong-Gil;LEE, Gi-Hun;KIM, Seong-Joon;JUNG, Chung-Gil
    • Journal of the Korean Association of Geographic Information Studies
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    • v.21 no.4
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    • pp.50-63
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    • 2018
  • The rapid urbanization had led to a distortion of natural hydrological cycle system. The change in hydrological cycle structure is causing streamflow depletion, changing the existing use tendency of water resources. To manage such phenomena, a streamflow depletion impact assessment technology to forecast depletion is required. For performing such technology, it is indispensable to build GIS-based spatial data as fundamental data, but there is a shortage of related research. Therefore, this study was conducted to use the use of GIS-based time series spatial data for streamflow depletion assessment. For this study, GIS data over decades of changes on a national scale were constructed, targeting 6 streamflow depletion impact factors (weather, soil depth, forest density, road network, groundwater usage and landuse) and the data were used as the basic data for the operation of continuous hydrologic model. Focusing on these impact factors, the causes for streamflow depletion were analyzed depending on time series. Then, using distributed continuous hydrologic model based DrySAT, annual runoff of each streamflow depletion impact factor was measured and depletion assessment was conducted. As a result, the default value of annual runoff was measured at 977.9mm under the given weather condition without considering other factors. When considering the decrease in soil depth, the increase in forest density, road development, and groundwater usage, along with the change in land use and development, and annual runoff were measured at 1,003.5mm, 942.1mm, 961.9mm, 915.5mm, and 1003.7mm, respectively. The results showed that the major causes of the streaflow depletion were lowered soil depth to decrease the infiltration volume and surface runoff thereby decreasing streamflow; the increased forest density to decrease surface runoff; the increased road network to decrease the sub-surface flow; the increased groundwater use from undiscriminated development to decrease the baseflow; increased impervious areas to increase surface runoff. Also, each standard watershed depending on the grade of depletion was indicated, based on the definition of streamflow depletion and the range of grade. Considering the weather, the decrease in soil depth, the increase in forest density, road development, and groundwater usage, and the change in land use and development, the grade of depletion were 2.1, 2.2, 2.5, 2.3, 2.8, 2.2, respectively. Among the five streamflow depletion impact factors except rainfall condition, the change in groundwater usage showed the biggest influence on depletion, followed by the change in forest density, road construction, land use, and soil depth. In conclusion, it is anticipated that a national streamflow depletion assessment system to be develop in the future would provide customized depletion management and prevention plans based on the system assessment results regarding future data changes of the six streamflow depletion impact factors and the prospect of depletion progress.